Hewlett-Packard HP ProBook 650 G1
Geekbench AI Score
791
Single Precision Score
814
Half Precision Score
888
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 10:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4610M CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 650 G1 |
| Motherboard | Hewlett-Packard 2101 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4610M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.5 IPS |
|
|
Image Classification (Q)
|
100% |
523
97.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
597
9.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
930
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
1106
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
87% |
533
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1495
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.45 IPS |
|
|
Depth Estimation (Q)
|
81% |
1365
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2813
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2846
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3081
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.0 IPS |
|
|
Text Classification (HP)
|
100% |
656
876.0 IPS |
|
|
Text Classification (Q)
|
91% |
468
628.6 IPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
100% |
853
14.7 IPS |
